Mastering Image Segmentation with PyTorch

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• Mastering Image Segmentation with PyTorch
• “! In this course, you will learn everything you need to know to get started with image segmentation using PyTorch.
• Image segmentation is a key technology in the field of computer vision, which enables computers to understand the content of an image at a pixel level. It has numerous applications, including autonomous vehicles, medical imaging, and augmented reality.
• This course is designed for both beginners and experts in the field of computer vision. If you are a beginner, we will start with the basics of PyTorch and how to use it for simple modeling. Then, you will learn how to implement popular semantic segmentation models such as FPN or U-Net.
• By the end of this course, you will have the skills and knowledge to tackle real-world semantic segmentation projects using PyTorch.
• So why wait? Join me today and take the first step towards mastering image segmentation with PyTorch!
• In my course I will teach you:
• Tensor handling
• creation and specific features of tensors
• automatic gradient calculation (autograd)
• Modeling introduction, incl.
• Linear Regression from scratch
• understanding PyTorch model training
• Batches
• Datasets and Dataloaders
• Hyperparameter Tuning
• saving and loading models
• Convolutional Neural Networks
• CNN theory
• layer dimension calculation
• image transformations
• Semantic Segmentation
• Architecture
• Upsampling
• Loss Functions
• Evaluation Metrics
• Train
• a
• Semantic Segmentation Model
• on a
• custom Dataset
• Enroll right now to learn some of the coolest techniques and boost your career with your new skills.
• Best regards,
• Bert
• Who this course is for:
• Developers who want to understand and implement Image Segmentation
• Data Scientists who want to broaden their scope of Deep Learning techniques

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